Pardeep Kumar

1.3k total citations
56 papers, 880 citations indexed

About

Pardeep Kumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Pardeep Kumar has authored 56 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 15 papers in Computer Networks and Communications. Recurrent topics in Pardeep Kumar's work include Advanced Steganography and Watermarking Techniques (10 papers), Interconnection Networks and Systems (10 papers) and AI in cancer detection (8 papers). Pardeep Kumar is often cited by papers focused on Advanced Steganography and Watermarking Techniques (10 papers), Interconnection Networks and Systems (10 papers) and AI in cancer detection (8 papers). Pardeep Kumar collaborates with scholars based in India, United States and Taiwan. Pardeep Kumar's co-authors include Amit Kumar Singh, C. Sathish Kumar, Yugal Kumar, Raghavendra Kumar, Manoj Diwakar, Nitin Nitin, Durg Singh Chauhan, Rajiv Singh, Siddharth Singh and Vivek Kumar Sehgal and has published in prestigious journals such as Neural Computing and Applications, Biomedical Signal Processing and Control and Multimedia Tools and Applications.

In The Last Decade

Pardeep Kumar

49 papers receiving 836 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pardeep Kumar India 16 570 148 120 87 80 56 880
Chuin-Mu Wang Taiwan 11 174 0.3× 162 1.1× 74 0.6× 84 1.0× 45 0.6× 41 510
K. Ganesan India 17 309 0.5× 138 0.9× 22 0.2× 68 0.8× 39 0.5× 49 700
Anselmo Ferreira Brazil 12 494 0.9× 151 1.0× 172 1.4× 158 1.8× 54 0.7× 20 875
Hubert Cardot France 11 210 0.4× 217 1.5× 50 0.4× 54 0.6× 58 0.7× 31 473
Zongwen Bai China 12 221 0.4× 173 1.2× 101 0.8× 13 0.1× 31 0.4× 25 481
Lingyun Xiang China 17 632 1.1× 307 2.1× 91 0.8× 11 0.1× 71 0.9× 65 967
Hong-Jie Xing China 13 169 0.3× 391 2.6× 42 0.3× 62 0.7× 74 0.9× 42 640
Saúl Solorio-Fernández Mexico 7 214 0.4× 366 2.5× 29 0.2× 27 0.3× 39 0.5× 8 662

Countries citing papers authored by Pardeep Kumar

Since Specialization
Citations

This map shows the geographic impact of Pardeep Kumar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pardeep Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pardeep Kumar more than expected).

Fields of papers citing papers by Pardeep Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pardeep Kumar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pardeep Kumar. The network helps show where Pardeep Kumar may publish in the future.

Co-authorship network of co-authors of Pardeep Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Pardeep Kumar. A scholar is included among the top collaborators of Pardeep Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pardeep Kumar. Pardeep Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Kumar, Pardeep, et al.. (2024). Deep-GAN: an improved model for thyroid nodule identification and classification. Neural Computing and Applications. 36(14). 7685–7704. 4 indexed citations
3.
Singh, Prabhishek, et al.. (2024). Improving quality of service for Internet of Things(IoT) in real life application: A novel adaptation based Hybrid Evolutionary Algorithm. Internet of Things. 27. 101323–101323. 3 indexed citations
4.
Kumar, Yugal, et al.. (2024). An enhanced human learning optimisation algorithm for effective data clustering. International Journal of Grid and Utility Computing. 15(2). 127–142. 1 indexed citations
5.
Kumar, Pardeep, et al.. (2023). A systematic review of machine and deep learning techniques for the identification and classification of breast cancer through medical image modalities. Multimedia Tools and Applications. 83(12). 35849–35942. 13 indexed citations
6.
Kumar, Pardeep, et al.. (2023). Optimizing CNN based model for thyroid nodule classification using data augmentation, segmentation and boundary detection techniques. Multimedia Tools and Applications. 82(26). 41037–41072. 6 indexed citations
7.
Kumar, Pardeep, et al.. (2022). A contemporary review on soft computing techniques for thyroid identification and detection. International Journal of Computer Applications in Technology. 69(4). 377–377. 1 indexed citations
8.
Kumar, Pardeep, et al.. (2022). A CNN-SVM hybrid model for the classification of thyroid nodules in medical ultrasound images. International Journal of Grid and Utility Computing. 13(6). 624–624. 6 indexed citations
9.
Kumar, Pardeep, et al.. (2022). A hybrid model for the identification and classification of thyroid nodules in medical ultrasound images. International Journal of Modelling Identification and Control. 41(1/2). 32–32. 2 indexed citations
10.
Kumar, Raghavendra, Pardeep Kumar, & Yugal Kumar. (2021). Integrating big data driven sentiments polarity and ABC-optimized LSTM for time series forecasting. Multimedia Tools and Applications. 81(24). 34595–34614. 24 indexed citations
11.
Kumar, Pardeep & Manoj Diwakar. (2020). A novel approach for multimodality medical image fusion over secure environment. Transactions on Emerging Telecommunications Technologies. 32(2). 22 indexed citations
12.
Kumar, Pardeep, et al.. (2019). A Novel Framework for Cloud Computing Enabled Laboratory. International Conference on Computing for Sustainable Global Development. 1 indexed citations
13.
Kumar, Pardeep, et al.. (2019). E-XY: an entropy based XY routing algorithm. International Journal of Grid and Utility Computing. 10(2). 179–179. 1 indexed citations
14.
Kumar, C. Sathish, Amit Kumar Singh, & Pardeep Kumar. (2018). Improved wavelet-based image watermarking through SPIHT. Multimedia Tools and Applications. 79(15-16). 11069–11082. 33 indexed citations
15.
Kumar, C. Sathish, et al.. (2018). SPIHT‐based multiple image watermarking in NSCT domain. Concurrency and Computation Practice and Experience. 32(1). 33 indexed citations
16.
Kumar, Pardeep, et al.. (2017). Three-Dimensional Topology based on Modified Diagonal Mesh Interconnection Network. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 1–6. 1 indexed citations
17.
Singh, Amit Kumar, et al.. (2017). Combining Haar Wavelet and Karhunen-Loeve Transform for Robust and Imperceptible Data Hiding Using Digital Images. Journal of Intelligent Systems. 27(1). 91–103. 15 indexed citations
18.
Singh, Amit Kumar, et al.. (2016). Multiple Watermarking for Healthcare Applications. Journal of Intelligent Systems. 27(1). 5–18. 28 indexed citations
19.
Kumar, Pardeep, et al.. (2016). Routing for Center Concentrated Mesh. International journal of intelligent engineering and systems. 10(1). 86–94. 2 indexed citations
20.
Kumar, Pardeep, Nitin Nitin, Durg Singh Chauhan, & Vivek Kumar Sehgal. (2012). Selection of evolutionary approach based hybrid data mining algorithms for decision support systems and business intelligence. 1041–1046. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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